Dangerous Delay 2: The cost of inaction
Bibliographic record
Abstract
In 2011, Somalia experienced a devastating famine that killed over a quarter of a million people. Afterwards, leaders in the region made a commitment to end drought emergencies by 2022. The international community sought to ensure that there would be no repeat of the failures that led to famine. Next time, the world would heed the warnings and act early to avoid the crisis. But despite various warnings and alarms over the past two years, the commitment to anticipatory action has proven half-hearted. We are once again responding too late and with too little to avert the crisis. In this follow-up to their 2012 briefing A Dangerous Delay, Oxfam and Save the Children, supported by the Jameel Observatory, examine what has changed and what has not in the humanitarian system since 2011. They explain how it must evolve in order to enable and fully fund anticipatory action. With the climate crisis set to deepen, the current system must change quickly in order to meet the challenges we face in the years ahead.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.056 | 0.008 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".